public static float[,] SingleCriterionED(
MGInput m,
float[] p_target,
int[,] u_thr)
{
var p_thr = new float[m.tCount, m.genCount];
var indexToCost = new Dictionary <int, float>(m.genCount);
for (int i = 0; i < m.genCount; i++)
{
// EUR for 1 hour of functioning
float cost = MGHelper.ThermalGenerator.GetCost(
m.p_thr_max[i],
m.thr_c_a[i],
m.thr_c_b[i],
m.thr_c_c[i]);
// EUR/MWh
float alpha = cost / m.p_thr_max[i];
indexToCost.Add(i, alpha);
}
var orderedByCost = indexToCost.OrderBy(x => x.Value).ToDictionary(x => x.Key, y => y.Value);
return(SingleCriterionED(m, p_target, u_thr, p_thr, orderedByCost, 0, m.tCount));
}
private async Task <int[, ]> UCPSearch(MGInput input, float[] p_target)
{
#if !UNITY_WEBGL || (UNITY_WEBGL && UNITY_SSM_WEBGL_THREADING_CAPABLE)
var r = await PSOSearch.UCPSearch(input, optionsPSO, p_target, OnProgress);
#else
var r = PSOSearch.UCPSearch(input, optionsPSO, p_target, OnProgress).Result;
#endif
executionID++;
return(r);
}
public async Task <MGOutput> Calculate(MGInput input)
{
#if !UNITY_WEBGL || (UNITY_WEBGL && UNITY_SSM_WEBGL_THREADING_CAPABLE)
var r = await Calculate(input,
ucEnumToMethod[ucAlgorithm],
edEnumToMethod[edAlgorithm]);
#else
var r = Calculate(input,
ucEnumToMethod[ucAlgorithm],
edEnumToMethod[edAlgorithm]).Result;
#endif
return(r);
}
public static float[,] SingleCriterionED(
MGInput m,
float[] p_target,
int[,] u_thr,
float[,] p_thr,
Dictionary <int, float> orderedByCost,
int t1,
int t2)
{
for (int t = t1; t < t2; t++)
{
float p_thr_remaining = p_target[t];
foreach (KeyValuePair <int, float> kvp in orderedByCost)
{
int i = kvp.Key;
float alpha = kvp.Value;
if (u_thr[t, i] == 1)
{
if (m.canSell)
{
if (alpha < m.price[t])
{
p_thr[t, i] = m.p_thr_max[i];
p_thr_remaining -= p_thr[t, i];
continue;
}
}
if (m.canBuy)
{
if (alpha > m.price[t])
{
p_thr[t, i] = 0.0f;
continue;
}
}
p_thr[t, i] = Mathf.Clamp(m.p_thr_max[i], 0.0f, p_thr_remaining);
p_thr_remaining -= p_thr[t, i];
}
else
{
p_thr[t, i] = 0.0f;
}
}
}
return(p_thr);
}
private async Task <MGOutput> Calculate(MGInput m, UCMethod uc, EDMethod ed)
{
var p_res = new float[m.tCount];
var p_res_excess = new float[m.tCount];
var p_excess = new float[m.tCount];
for (int t = 0; t < m.tCount; t++)
{
p_res[t] = m.p_w[t] + m.p_pv[t];
}
float[] c_bat = new float[m.tCount];
float[] p_target = new float[m.tCount];
float[] p_bat = new float[m.tCount];
float[] e_bat = new float[m.tCount];
float[] soc = new float[m.tCount];
soc[0] = m.soc_ini;
e_bat[0] = m.e_bat_max * soc[0];
for (int t = 0; t < m.tCount; t++)
{
// Renewables aren't enough to meet demand.
if (m.p_load[t] > p_res[t])
{
p_res_excess[t] = 0.0f;
// Battery is usable.
if (soc[t] > m.soc_min)
{
c_bat[t] = -1.0f;
p_target[t] = Mathf.Max(0.0f, m.p_load[t] - p_res[t] - m.p_bat_max);
}
// Battery is not usable, demand isn't met.
else
{
c_bat[t] = 0.0f;
p_target[t] = Mathf.Max(0.0f, m.p_load[t] - p_res[t]);
}
}
// Renewables are enough to meet demand.
else
{
p_target[t] = 0.0f;
p_res_excess[t] = p_res[t] - m.p_load[t];
// Battery is chargeable.
if (soc[t] < m.soc_max)
{
c_bat[t] = 1.0f;
}
else
{
c_bat[t] = 0.0f;
}
}
if (c_bat[t] == 1.0f)
{
// Charge the battery wiwth whichever is smallest between
// the battery's maximum power and the available surplus.
p_bat[t] = Mathf.Max(-m.p_bat_max, m.p_load[t] - p_res[t]);
}
else if (c_bat[t] == -1.0f)
{
// Draw whichever is smallest between the battery's
// maximum power and the unmet demand.
p_bat[t] = Mathf.Min(m.p_bat_max, m.p_load[t] - p_res[t]);
}
else
{
p_bat[t] = 0.0f;
}
if (t < m.tCount - 1)
{
e_bat[t + 1] = e_bat[t] - (p_bat[t] / 60.0f);
soc[t + 1] = e_bat[t + 1] / m.e_bat_max;
}
}
// Unit Commitment
var stopWatch = new Stopwatch();
QueueForMainThread(UCStatusChanged, this,
new RunStatusEventArgs(RunStatus.Started));
stopWatch.Start();
#if !UNITY_WEBGL || (UNITY_WEBGL && UNITY_SSM_WEBGL_THREADING_CAPABLE)
int[,] u_thr = await uc(m, p_target);
#else
int[,] u_thr = uc(m, p_target).Result;
#endif
stopWatch.Stop();
QueueForMainThread(UCStatusChanged, this,
new RunStatusEventArgs(RunStatus.FinishedRunning));
UCStopwatchStopped?.Invoke(this, new StopwatchStoppedEventArgs(stopWatch.ElapsedMilliseconds));
// Economic Dispatch
float[,] p_thr = ed(m, p_target, u_thr);
// Derive misc. variables
float[] p_sum = new float[m.tCount];
float[] e_sys = new float[m.tCount];
float[] e_thr_sum = new float[m.tCount];
float[] p_thr_sum = new float[m.tCount];
float[] p_sys = new float[m.tCount];
float[] c_sys = new float[m.tCount];
float[,] c_thr = new float[m.tCount, m.genCount];
float[] c_thr_sum = new float[m.tCount];
float[] p_thr_max_sum = new float[m.tCount];
float c_thr_total = 0.0f;
float c_sys_total = 0.0f;
float e_thr_total = 0.0f;
float e_sys_total = 0.0f;
for (int t = 0; t < m.tCount; t++)
{
for (int i = 0; i < m.genCount; i++)
{
p_thr_max_sum[t] += m.p_thr_max[i] * u_thr[t, i];
p_thr_sum[t] += p_thr[t, i];
e_thr_sum[t] += p_thr[t, i] / 60.0f;
//EUR for 1 hour of functioning
c_thr[t, i] = u_thr[t, i] * MGHelper.ThermalGenerator.GetCost(
p_thr[t, i],
m.thr_c_a[i],
m.thr_c_b[i],
m.thr_c_c[i]) / 60.0f;
c_thr_sum[t] += c_thr[t, i];
}
p_sum[t] = p_res[t] + p_bat[t] + p_thr_sum[t];
if (m.p_load[t] - p_sum[t] < 0)
{
if (m.canSell)
{
p_sys[t] = m.p_load[t] - p_sum[t];
}
else
{
p_sys[t] = 0.0f;
p_excess[t] = p_sum[t] - m.p_load[t];
}
}
else
{
if (m.canBuy)
{
p_sys[t] = m.p_load[t] - p_sum[t];
}
else
{
p_sys[t] = 0.0f;
p_excess[t] = p_sum[t] - m.p_load[t];
}
}
e_sys[t] = p_sys[t] / 60.0f;
c_sys[t] = e_sys[t] * m.price[t];
e_sys_total += e_sys[t];
c_thr_total += c_thr_sum[t];
c_sys_total += c_sys[t];
e_thr_total += e_thr_sum[t];
}
return(new MGOutput
{
u_thr = u_thr,
p_sum = p_sum,
p_res = p_res,
p_thr = p_thr,
e_thr_sum = e_thr_sum,
p_thr_sum = p_thr_sum,
p_thr_max_sum = p_thr_max_sum,
p_bat = p_bat,
p_sys = p_sys,
p_target = p_target,
soc = soc,
c_bat = c_bat,
e_sys_total = e_sys_total,
e_thr_total = e_thr_total,
c_sys = c_sys,
c_thr = c_thr,
c_thr_sum = c_thr_sum,
c_sys_total = c_sys_total,
c_thr_total = c_thr_total
});
}
/// <summary>
/// Precomputes the cost of each possible set of generator states at
/// every time step.
/// </summary>
/// <param name="m">Microgrid input data.</param>
/// <param name="genCount">Number of generators.</param>
/// <param name="stepCount">The number of time steps.</param>
/// <param name="stepSize">The size of each time step.</param>
/// <param name="p_target">The amount of power the system needs to supply at a given time step.</param>
/// <returns>A dictionary mapping a generator state and time step pair
/// to the cost of purchasing the amount of power necessary to fulfill
/// remaining demand for that specific pair.</returns>
public static Dictionary <StateStep, float> ConstructCostDictionary(
MGInput m,
int stepCount,
int stepSize,
float penalty,
float[] p_target)
{
// It's expensive to compute the cost of the amount of power the
// microgrid needs to purchase inside the main loop. There are only
// 2^n * stepCount combinations possible which end up being
// redundantly recalculated a lot if done in the main loop.
// So we compute all of them ahead of time and store them in a
// dictionary.
// t1 and t2 define the interval of time this step occupies.
var stepInterval = new Tuple <int, int> [stepCount];
for (int iStep = 0; iStep < stepCount; iStep++)
{
stepInterval[iStep] = new Tuple <int, int>(
iStep * stepSize,
(iStep + 1) * stepSize - 1);
}
int nSqr = 1 << m.genCount; //Bitwise squaring.
int nPurchaseCombs = nSqr * stepCount;
var purchaseCostDict = new Dictionary <StateStep, float>(nPurchaseCombs);
var indexToCost = new Dictionary <int, float>(m.genCount);
float[] p_thr = new float[m.genCount];
for (int i = 0; i < m.genCount; i++)
{
// EUR for 1 hour of functioning
float cost = ThermalGenerator.GetCost(
m.p_thr_max[i],
m.thr_c_a[i],
m.thr_c_b[i],
m.thr_c_c[i]);
// EUR/MWh
float alpha = cost / m.p_thr_max[i];
indexToCost.Add(i, alpha);
}
float[] e_thr_remaining = new float[stepSize];
float[] p_remaining = new float[stepSize];
var orderedByCost = indexToCost.OrderBy(x => x.Value).ToDictionary(x => x.Key, y => y.Value);
for (int iState = 0; iState < nSqr; iState++)
{
for (int iStep = 0; iStep < stepCount; iStep++)
{
float c_total = 0.0f;
int t1 = stepInterval[iStep].Item1;
int t2 = stepInterval[iStep].Item2;
for (int t = t1; t < t2; t++)
{
e_thr_remaining[t - t1] = p_target[t] / 60.0f;
p_remaining[t - t1] = p_target[t];
foreach (KeyValuePair <int, float> kvp in orderedByCost)
{
int iGen = kvp.Key;
float alpha = kvp.Value;
var bitValue = iState & (1 << m.genCount - iGen - 1);
var state = ((bitValue | (~bitValue + 1)) >> 31) & 1;
if (state == 1)
{
if (alpha < m.price[t])
{
if (m.canSell)
{
// Since we can sell and our generator
// makes cheaper energy than the market price,
// just produce at max power.
p_thr[iGen] = m.p_thr_max[iGen];
}
else
{
// Since we can't sell but our generator
// makes cheaper energy than market price,
// we'll produce enough to cover local demand.
p_thr[iGen] = Mathf.Clamp(m.p_thr_max[iGen], 0.0f, p_remaining[t - t1]);
}
}
else
{
if (m.canBuy)
{
// Since we can buy and our generator
// makes more expensive energy than
// the market price, produce no power
// and buy.
p_thr[iGen] = 0.0f;
}
else
{
// Since we can't buy, produce enough
// power to cover local demand, regardless
// of market price.
p_thr[iGen] = Mathf.Clamp(m.p_thr_max[iGen], 0.0f, p_remaining[t - t1]);
}
}
c_total += ThermalGenerator.GetCost(
p_thr[iGen],
m.thr_c_a[iGen],
m.thr_c_b[iGen],
m.thr_c_c[iGen]) / 60.0f;
p_remaining[t - t1] -= p_thr[iGen];
e_thr_remaining[t - t1] -= p_thr[iGen] / 60.0f;
}
else
{
p_thr[iGen] = 0.0f;
}
}
if (e_thr_remaining[t - t1] < 0.0f)
{
if (m.canSell)
{
c_total += e_thr_remaining[t - t1] * m.price[t];
}
}
else
{
if (m.canBuy)
{
c_total += e_thr_remaining[t - t1] * m.price[t];
}
else
{
c_total += e_thr_remaining[t - t1] * penalty;
}
}
}
var id = new StateStep(iState, iStep);
#if UNITY_EDITOR || DEVELOPMENT_BUILD
if (purchaseCostDict.ContainsKey(id) &&
purchaseCostDict[id] != c_total)
{
throw new InvalidProgramException(
$@"IDs and purchase costs need to have a 1 to 1
mapping. There can't be an ID with a different
purchase cost. If that happens, the code is wrong
somewhere.
UID: {id}.
Existing Value: {purchaseCostDict[id]}.
New Value: {c_total}.");
}
#endif
purchaseCostDict[id] = c_total;
}
}
return(purchaseCostDict);
}
