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Problem 2 : Networked electricity market The data files p 1 Bus 1 Data.csv and p 1 Bus 2 Data.csv contain two sets of bids

Problem 2: Networked electricity market
The data files p1Bus1Data.csv and p1Bus2Data.csv contain two sets of bids and offers. For
each file, the csv includes a matrix with four columns:
The first column includes the quantities of the bids. Denote the k th element of this
column by pkb.
The second column includes the prices of the bids. Denote the k th element of this
column by kb.
The third column includes the quantities of the offers. Denote the k th element of this
column by pko.
The fourth column includes the prices of the offers. Denote the k th element of this
column by k0.
Each row of the matrix include the data for a bid and an offer. The first file contains 30
rows and the second file contains 50 rows.
Consider a two bus electricity network, connected with a transmission line. Suppose the
bids and offers in p1Bus1Data.csv are from suppliers and consumers connected to bus 1 and
the bids and offers in p1Bus2Data.csv are from suppliers and consumers connected to bus
(a) Suppose the transmission line does not exist so there are two separate pool markets,
one for each bus. Calculate the market equilibrium price and quantity for the market
corresponding to each bus. Note: this can be formulated as an optimization as shown
in lectures.
(b) Under the condition of (a), denote the equilibrium price and quantity for the market
at bus i by ieq and pieq. For each bid k, also calculate the supplier surplus defined as
follows:
(iea-kb)xkb,
where xkb is the cleared/accepted quantity for bid k such that 0xkbpkb. For each
offer, calculate the consumer surplus defined as follows:
(ko-ieq)xko,
where xko is the cleared/accepted quantity for offer k such that 0xkopko. For
each market, plot the histogram for supplier surplus and the histogram for consumer
surplus. Bus1: 41.702200479.83468338310.2334428811.4745973
72.0324493442.110762541.4055987894.94892587
0.01143748295.7889530269.4400157744.99121335
30.2332572653.316528541.4179269557.83896144
14.6755890869.18771144.99534589540.81368028
9.23385947731.551563153.5896405923.70269802
18.6260211468.6500927766.3794645290.33795206
34.556072783.4625671951.4889112157.36794867
39.676747421.82882773494.45947560.287032703
53.881673475.0144314958.6555040561.71449136
41.9194514498.8861088990.3401915332.66449018
68.5219500474.8165654413.7474704152.70581023
20.4452249728.0443992113.9276347388.59420993
87.8117436478.9279328580.7391288735.726976
2.7387593210.3226006639.767683790.85351509
67.0467510244.7893526216.5354197162.33601158
41.7304802490.8595503192.750858041.582124285
55.8689828429.3614148434.7765859792.94372337
14.0386938628.7775338675.0812103169.08969175
19.8101489113.0028572172.5997985499.73228505
80.074456871.93669578788.3306091217.23405083
96.8261575767.8835532962.3672207113.71357496
31.3424178221.162811675.094243493.2595463
69.2322615726.5546659434.889834269.68181615
87.6389152349.1573159326.992789186.600017272
89.460666355.33625451289.5886218275.54630526
8.50442113757.4117605542.8091189975.38761885
3.90547832314.6728574996.4840047192.30245355
16.9830419658.9305536966.3441497871.15247586
87.8142503469.975

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